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《基于車輛聲頻信號(hào)的車型識(shí)別算法研究》由會(huì)員上傳分享，免費(fèi)在線閱讀，更多相關(guān)內(nèi)容在學(xué)術(shù)論文-天天文庫(kù)。
1、y978‘l二長(zhǎng)安大學(xué)碩士學(xué)位論文基壬奎箍直叛值墨數(shù)奎型遲別篡洼硒究瞳魚申請(qǐng)學(xué)位級(jí)別塑主學(xué)科名稱叁煎焦皇苧塑壘墊劍論文提交FI期2QQ6。區(qū)論文答辯日期2QQ互生互旦iQ目AbstractVehicleclassificatjonisanimportantpartofintelli2enttransportsystem．Itisusedintoll、transponationstatistjcsandsoonfafandwide．Ttaditionally'electriccablesandjnductioncoilsareburiedund
2、erroads；vehicles’photostakenbycamerarecordsystem．However，thismethodwillcausedamagetotheroad，柚ddemandequipmentmaintenancefbrlongte哪use．ThisthesisisfbcusedonthestudyofthevehicleclassificatjOnbasedonthea∞usticsignaI．First，theDfesentrcsearchsituationofsounddetectionanditsfeasib
3、iIitvwasreviewed．Thenthegenerationandpmpagationofacousticsi2皿alwa擊studied．ThisthesiscollectsmanVkindsofsignal，de-noiseandsynthesizespecimenusingthetheoryofwaveletaIldarraVsignal．AndthenextractfeatufesfromsignalIFeatureexIractionisthekevtotheclassificationprocess．Intheapproa
4、ch，featuresafeextractedfromspectr02rambaseontraditionalmethods．Spectmgr鋤denotesthespectmmbywayofpictureintwodimensions：timeand仃equency．Experimentsshowthatthercarcmanydi丘brenthndsofcolorandtexturcforpowerinspectm盯amcontmsttothepowerspectnlm．Thisthesisextradthecontmst、entropy
5、aIldene唱yasourfeaturcs．Thelastpanofthisstudyinvestigatedpattemrcco印itionproblemovertexturefcaturcs．AimatthecharacteristicSofthesignalthethesisadoptfIlzzVc．meansal舯ritllIll．Forcomplexfeaturesthethesisistakenanewa190rithmcaIledKemel-basedfIlzzVandpossibilisticc—meansclusterin
6、2waStaken．Someresultsare西ventoilIustrateIheadvantagcsofthepmposedalgorithmsoVertheFCM(fIIzzyc·me卸s)aIldPCM(possibilisticc—means)a120rithms．Thea190rithmofthisthesisisef：fectivetoclassthevehiclesbaseonthevehideacousticsigllal．Usingtheacousticnoisesi印algeneratedbydriVillgmotor
7、VehiclestovehicleclassificatiOnisanewandpromisingmethod．Keywords：vehicleacousticsi弘a1．vehicleclassification．spectm莎lIIltextufctheory．Kemel．basedfuzzy鋤dpossibilisticc—meansclustering論文獨(dú)創(chuàng)性聲明本人聲明：本人所呈交的學(xué)位論文是在導(dǎo)師的指導(dǎo)下，獨(dú)立進(jìn)行研究工作所取得的成果。除論文中已經(jīng)注明引用的內(nèi)容外，對(duì)論文的研究做出重要貢獻(xiàn)的個(gè)人和集體，均已在文中以明確方式標(biāo)明。
8、本論文中不包含任何未加明確注明的其他個(gè)人或集體已經(jīng)公開發(fā)表的成果。本聲明的法律責(zé)任由本人承擔(dān)。論文作一1撕游鈿石日論文知識(shí)產(chǎn)權(quán)權(quán)屬聲明本人在導(dǎo)師指導(dǎo)下所完成的論文及
